Can Command R+ 104B run on NVIDIA GH200 96GB?

YES — Runs Great

A72Great

Estimated from fit model

Command R+ 104B needs ~77.4 GB VRAM. NVIDIA GH200 96GB has 96.0 GB. With Q4_K_M quantization, expect ~51 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 77.4 GB, 55.5 tok/s, Runs well

77.4 GB required96.0 GB available

81% VRAM used

Fit status

Runs well

Decode

55.5 tok/s

TTFT

3486 ms

Safe context

103K

Memory

77.4 GB / 96.0 GB

Memory breakdown

Weights63.4 GB

KV Cache3.4 GB

Runtime0.9 GB

Headroom9.6 GB

See how fast it feels

See how fast it feelsCommand R+ 104B on NVIDIA GH200 96GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.

Given information:
  - Speed = 60 mph (miles per hour)
  - Time  = 2.5 hours

Formula: Distance = Speed x Time

Calculation:
  Distance = 60 mph x 2.5 h
           = 150 miles

The train travels 150 miles.

Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.

Breakdown:
  - First half: 1.25 hours at 60 mph = 75 miles
  - Stop: 20 minutes (no distance)
  - Second half: 1.25 hours at 60 mph = 75 miles

Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph

The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 55.5 tok/s decode · 3.5s TTFT (warm) · 139 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	A	Runs well	55.5 tok/s	1901 ms	103K
Coding	A	Runs well	51.1 tok/s	3791 ms	103K
Agentic Coding	B	Tight fit	55.5 tok/s	5070 ms	103K
Reasoning	A	Runs well	55.5 tok/s	4120 ms	103K
RAG	B	Tight fit	55.5 tok/s	6338 ms	103K

Quantization options

How Command R+ 104B (104B params) fits at each quantization level on NVIDIA GH200 96GB (96.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	40.6 GB	Low	B63
Q3_K_S	3	51.0 GB	Low	B65
NVFP4	4	58.2 GB	Medium	B65
Q4_K_M	4	63.4 GB	Medium	B65
Q5_K_MBest for your GPU	5	74.9 GB	High	B65
Q6_K	6	85.3 GB	High	F0
Q8_0	8	111.3 GB	Very High	F0
F16	16	213.2 GB	Maximum	F0

Get started

Copy-paste commands to run Command R+ 104B on your machine.

Run

ollama run command-r-plus

Your hardware

More models your NVIDIA GH200 96GB can run

Model	Params	Grade	Decode
Devstral 2 123B Instruct	123B	S	47 tok/s
Qwen 3.5 122B A10B	122B	S	130.3 tok/s
Mistral Small 4 119B	119B	S	141.2 tok/s
GPT-OSS 120B	117B	S	49.4 tok/s
Command A 111B	111B	S	52.2 tok/s

Frequently asked questions

Can NVIDIA GH200 96GB run Command R+ 104B?

Yes, NVIDIA GH200 96GB can run Command R+ 104B with a A grade (Runs well). Expected decode speed: 51.1 tok/s.

How much VRAM does Command R+ 104B need?

Command R+ 104B (104B parameters) requires approximately 77.4 GB of memory with Q4_K_M quantization.

What is the best quantization for Command R+ 104B?

The recommended quantization for Command R+ 104B is Q4_K_M, which balances quality and memory efficiency.

What speed will Command R+ 104B run at on NVIDIA GH200 96GB?

On NVIDIA GH200 96GB, Command R+ 104B achieves approximately 51.1 tokens per second decode speed with a time-to-first-token of 3791ms using Q4_K_M quantization.

Can NVIDIA GH200 96GB run Command R+ 104B for coding?

For coding workloads, Command R+ 104B on NVIDIA GH200 96GB receives a A grade with 51.1 tok/s and 103K context.

What context window can Command R+ 104B use on NVIDIA GH200 96GB?

On NVIDIA GH200 96GB, Command R+ 104B can safely use up to 103K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for NVIDIA GH200 96GB See all hardware for Command R+ 104B

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